Research on the Integration of Authentic Corporate Corpora into Higher Vocational English Teaching under the Integration of Industry and Education Driven by Digital Technology

Abstract

Under the dual context of digital transformation and the development of new quality productive forces, this study addresses the practical dilemma in Higher Vocational Public English teaching, where textbook materials are outdated and disconnected from corporate job requirements. It explores a new path for integrating authentic corporate corpora into teaching, driven by digital technology. Using a leading low-voltage electrical appliance enterprise in Wenzhou (Company T) as a case study, the research utilizes Natural Language Processing (NLP) technology to construct an industry-specific corpus. Through de-identification preprocessing, intelligent data mining, and professional pragmatic feature analysis, the study achieves the transformation of "native" corporate resources into dynamic pedagogical materials. Furthermore, a teaching model characterized by "digital intelligence platform support, authentic corpus driving, and professional task orientation" was developed and piloted through a one-semester stratified teaching program at a vocational college in Wenzhou.The results provide empirical support for the integration of “Job-Course-Competition-Certificate” in vocational English and offer a replicable paradigm for establishing long-term mechanisms for deep industry-education fusion in the digital intelligence era.